AI Data Engineer

Artifintech; Austin (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

Artifintech in Austin, TX, is seeking a senior data engineering leader to design and build AI-powered data platforms. You will leverage Snowflake Cortex AI, CoCO, and related technologies to deliver scalable ELT/ETL pipelines, RAG, vector search, and enterprise AI solutions.

You will collaborate with stakeholders, lead architecture reviews, PoCs, and deployments, and mentor teams while setting standards for security, governance, and performance.

Qualifications

• 10+ years in Data Engineering, Analytics Engineering, or Data Platforms.
• Expert in Snowflake architecture, security, governance, and performance.
• Hands-on with Cortex AI, CoCO, CoCO Desktop, Snowpark, AI/ML integration patterns.
• Experience building LLM, RAG, vector search, and agentic AI.
• Strong SQL and Python skills.
• Experience with Airflow, dbt, Spark, Kafka, and cloud platforms (AWS, Azure, or GCP).
• Strong customer-facing communication and solution-architecture skills.

Responsibilities

• Design and implement AI-powered data solutions using Snowflake Cortex AI, CoCO, and CoCO Desktop.
• Develop and deploy RAG, agentic workflows, semantic layers, and enterprise AI applications.
• Architect scalable data platforms leveraging Snowflake, Kafka, Spark, Airflow, dbt, and cloud-native services.
• Build robust ELT/ETL pipelines and real-time integrations.
• Lead workshops, architecture reviews, PoCs, and production deployments.
• Develop reusable accelerators and best practices.

Skills

SQL

Python

Communication

Solution architecture

Tools

Snowflake Cortex AI

CoCO

CoCO Desktop

Snowpark

Airflow

dbt

Spark

Kafka

AWS

Azure

GCP

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Key Responsibilities:

• Design and implement AI-powered data solutions using Snowflake Cortex AI, CoCO, and CoCO Desktop.
• Develop and deploy RAG, agentic workflows, semantic layers, and enterprise AI applications.
• Architect scalable data platforms leveraging Snowflake, Kafka, Spark, Airflow, dbt, and cloud-native services.
• Build robust ELT/ETL pipelines and real-time integrations.
• Lead workshops, architecture reviews, PoCs, and production deployments.
• Develop reusable accelerators and best practices.

Required Qualifications:

• 10+ years of experience in Data Engineering, Analytics Engineering, or Data Platforms.
• Deep expertise in Snowflake architecture, security, governance, and performance optimization.
• Hands-on experience with Cortex AI, CoCO, CoCO Desktop, Snowpark, and AI/ML integration patterns.
• Experience building LLM, RAG, vector search, and agentic AI solutions.
• Strong SQL and Python skills.
• Experience with Airflow, dbt, Spark, Kafka, and cloud platforms (AWS, Azure, or GCP).
• Strong customer-facing communication and solution architecture skills.

Preferred Qualifications:

• Snowflake certifications (Architect, Data Engineer, AI specialization).
• Experience with Streamlit, Dynamic Tables, Snowpipe, and Native Apps.
• Experience integrating OpenAI, Anthropic, Gemini, or open-source models.
• Knowledge of enterprise security, governance, privacy, and compliance frameworks.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.